Daniela Puiu
- Parasitology top 1%
- Genetics top 1%
- Plant Science top 1%
- Chromosomal and Genetic Variations 8
- Plant Disease Resistance and Genetics 6
- Endocrinology top 2%
- Plant and Fungal Interactions Research 8
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 21
- RNA and protein synthesis mechanisms 7
- Metabolomics and Mass Spectrometry Studies 3
- Mitochondrial Function and Pathology 3
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- Plant Pathogens and Fungal Diseases 5
- Co-authors
- Steven L. SalzbergAleksey V. ZiminJames A. YorkeGuillaume MarçaisMichael RobertsArthur L. DelcherMichael C. SchatzSergey Koren
- Cited by
- ParasitologyGeneticsPlant Science
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniela Puiu
47 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Parasitology 488
- Genetics 1.3k
- Plant Science 1.8k
- Endocrinology 235
- Molecular Biology 2.9k
Countries citing papers authored by Daniela Puiu
This map shows the geographic impact of Daniela Puiu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Puiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Puiu more than expected).
Fields of papers citing papers by Daniela Puiu
This network shows the impact of papers produced by Daniela Puiu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Puiu. The network helps show where Daniela Puiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Puiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 18 | |
| 4 | Major data analysis errors invalidate cancer microbiome findingsbreakdown → | 2023 | 99 |
| 5 | 2022 | 22 | |
| 6 | 2022 | 53 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 21 | |
| 11 | 2020 | 88 | |
| 12 | 2020 | 24 | |
| 13 | 2018 | 44 | |
| 14 | 2017 | 192 | |
| 15 | 2017 | 274 | |
| 16 | GAGE: A critical evaluation of genome assemblies and assembly algorithms (Genome Research (2012) 22 (557-567)) | 2012 | 3 |
| 17 | 2010 | 366 | |
| 18 | 2008 | 4 | |
| 19 | 2004 | 0 | |
| 20 | 2004 | 22 |
About Daniela Puiu
Daniela Puiu is a scholar working on Endocrinology, Molecular Biology, Parasitology, Plant Science and Cell Biology, having authored 49 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (21 papers), Plant and Fungal Interactions Research (8 papers), Chromosomal and Genetic Variations (8 papers), RNA and protein synthesis mechanisms (7 papers), Plant Disease Resistance and Genetics (6 papers), Plant Pathogens and Fungal Diseases (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Parasitology (488 citations), Genetics (1.3k citations), Plant Science (1.8k citations), Endocrinology (235 citations) and Molecular Biology (2.9k citations). Daniela Puiu has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Steven L. Salzberg, Aleksey V. Zimin, James A. Yorke, Guillaume Marçais, Michael Roberts, Arthur L. Delcher, Michael C. Schatz, Sergey Koren, Liliana Florea and Poorani Subramanian. Their work appears in journals such as G3 Genes Genomes Genetics, PLoS ONE, Genetics, Genome Research and Genome biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.